Genome-wide segregation of single nucleotide and structural variants into single cancer cells

Abstract Background Single-cell genome sequencing provides high-resolution details of the clonal genomic modifications that occur during cancer initiation, progression, and ongoing evolution as patients undergo treatment. One limitation of current single-cell sequencing strategies is a suboptimal ca...

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Main Authors: John Easton, Veronica Gonzalez-Pena, Donald Yergeau, Xiaotu Ma, Charles Gawad
Format: Article
Language:English
Published: BMC 2017-11-01
Series:BMC Genomics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12864-017-4286-1
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spelling doaj-9f3db61872d84b9d9730c52619cec6d62020-11-24T23:11:57ZengBMCBMC Genomics1471-21642017-11-011811610.1186/s12864-017-4286-1Genome-wide segregation of single nucleotide and structural variants into single cancer cellsJohn Easton0Veronica Gonzalez-Pena1Donald Yergeau2Xiaotu Ma3Charles Gawad4Department of Computational Biology, St. Jude Children’s Research HospitalDepartment of Oncology, St. Jude Children’s Research HospitalDepartment of Computational Biology, St. Jude Children’s Research HospitalDepartment of Computational Biology, St. Jude Children’s Research HospitalDepartment of Computational Biology, St. Jude Children’s Research HospitalAbstract Background Single-cell genome sequencing provides high-resolution details of the clonal genomic modifications that occur during cancer initiation, progression, and ongoing evolution as patients undergo treatment. One limitation of current single-cell sequencing strategies is a suboptimal capacity to detect all classes of single-nucleotide and structural variants in the same cells. Results Here we present a new approach for determining comprehensive variant profiles of single cells using a microfluidic amplicon-based strategy to detect structural variant breakpoint sequences instead of using relative read depth to infer copy number changes. This method can reconstruct the clonal architecture and mutational history of a malignancy using all classes and sizes of somatic variants, providing more complete details of the temporal changes in mutational classes and processes that led to the development of a malignant neoplasm. Using this approach, we interrogated cells from a patient with leukemia, determining that processes producing structural variation preceded single nucleotide changes in the development of that malignancy. Conclusions All classes and sizes of genomic variants can be efficiently detected in single cancer cells using our new method, enabling the ordering of distinct classes of mutations during tumor evolution.http://link.springer.com/article/10.1186/s12864-017-4286-1Single-cell genomicscancer evolutionacute lymphoblastic leukemia
collection DOAJ
language English
format Article
sources DOAJ
author John Easton
Veronica Gonzalez-Pena
Donald Yergeau
Xiaotu Ma
Charles Gawad
spellingShingle John Easton
Veronica Gonzalez-Pena
Donald Yergeau
Xiaotu Ma
Charles Gawad
Genome-wide segregation of single nucleotide and structural variants into single cancer cells
BMC Genomics
Single-cell genomics
cancer evolution
acute lymphoblastic leukemia
author_facet John Easton
Veronica Gonzalez-Pena
Donald Yergeau
Xiaotu Ma
Charles Gawad
author_sort John Easton
title Genome-wide segregation of single nucleotide and structural variants into single cancer cells
title_short Genome-wide segregation of single nucleotide and structural variants into single cancer cells
title_full Genome-wide segregation of single nucleotide and structural variants into single cancer cells
title_fullStr Genome-wide segregation of single nucleotide and structural variants into single cancer cells
title_full_unstemmed Genome-wide segregation of single nucleotide and structural variants into single cancer cells
title_sort genome-wide segregation of single nucleotide and structural variants into single cancer cells
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2017-11-01
description Abstract Background Single-cell genome sequencing provides high-resolution details of the clonal genomic modifications that occur during cancer initiation, progression, and ongoing evolution as patients undergo treatment. One limitation of current single-cell sequencing strategies is a suboptimal capacity to detect all classes of single-nucleotide and structural variants in the same cells. Results Here we present a new approach for determining comprehensive variant profiles of single cells using a microfluidic amplicon-based strategy to detect structural variant breakpoint sequences instead of using relative read depth to infer copy number changes. This method can reconstruct the clonal architecture and mutational history of a malignancy using all classes and sizes of somatic variants, providing more complete details of the temporal changes in mutational classes and processes that led to the development of a malignant neoplasm. Using this approach, we interrogated cells from a patient with leukemia, determining that processes producing structural variation preceded single nucleotide changes in the development of that malignancy. Conclusions All classes and sizes of genomic variants can be efficiently detected in single cancer cells using our new method, enabling the ordering of distinct classes of mutations during tumor evolution.
topic Single-cell genomics
cancer evolution
acute lymphoblastic leukemia
url http://link.springer.com/article/10.1186/s12864-017-4286-1
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